Data-Driven Sub/Super-Oscillation Analysis for Renewable Power Plants

Multi-band oscillations in renewable plants threaten system stability. The installation of Phasor Measurement Units (PMUs) in power systems provides high-precision synchronized data. Filtering further improves data quality. Utilizing methods such as Fast Fourier Transform (FFT), Prony analysis, and Dynamic Mode Decomposition (DMD) allow for precise analysis of power system oscillations, thereby improving system stability and reliability. This paper employs the described methods to simulate a renewable energy station model. The results are analyzed and compared, aiming to offer insights for practical applications in real-world stations.